Learning Relevant Features of Data with Multi-scale Tensor Networks

31 December 2017

Papers citing "Learning Relevant Features of Data with Multi-scale Tensor Networks"

20 / 20 papers shown

Title
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz A. Hallam Edward Grant V. Stojevic Simone Severini A. Green 47 9 0 09 Nov 2017
Expressive power of recurrent neural networks Valentin Khrulkov Alexander Novikov Ivan Oseledets 82 112 0 02 Nov 2017
Long-term Forecasting using Higher Order Tensor RNNs Rose Yu Stephan Zheng Anima Anandkumar Yisong Yue AI4TS 50 133 0 31 Oct 2017
On the Long-Term Memory of Deep Recurrent Networks Yoav Levine Or Sharir Alon Ziv Amnon Shashua 49 24 0 25 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 99 271 0 06 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 67 148 0 26 Jul 2017
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 75 196 0 31 May 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 104 126 0 05 Apr 2017
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms Mathieu Blondel Masakazu Ishihata Akinori Fujino N. Ueda 37 79 0 29 Jul 2016
Criticality in Formal Languages and Statistical Physics Henry W. Lin Max Tegmark AI4CE 45 84 0 21 Jun 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry Nadav Cohen Amnon Shashua 58 134 0 22 May 2016
Training Input-Output Recurrent Neural Networks through Spectral Methods Hanie Sedghi Anima Anandkumar 30 19 0 03 Mar 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions Nadav Cohen Amnon Shashua 62 153 0 01 Mar 2016
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 105 882 0 22 Sep 2015
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 81 471 0 16 Sep 2015
On the Complexity of Learning with Kernels Nicolò Cesa-Bianchi Yishay Mansour Ohad Shamir 71 38 0 05 Nov 2014
An exact mapping between the Variational Renormalization Group and Deep Learning Pankaj Mehta D. Schwab AI4CE 78 309 0 14 Oct 2014
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 432 1,145 0 29 Oct 2012
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 158 282 0 09 Aug 2012